A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model

Peng, Gongzhuang; Wang, Hongwei; Zhang, Heming; Zhao, Yanwei; Johnson, Aylmer

doi:10.1016/j.aei.2016.12.007

Cited by 57 publications

(27 citation statements)

References 49 publications

(111 reference statements)

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“…We can devote to the research of interaction and integration of formal and tacit design knowledge and implementation of design innovation. 29 Furthermore, how to use artificial intelligence, fuzzy reasoning, and other more advanced technical methods to transport design knowledge into the design platform directly and achieve knowledge push initiatively to improve design efficiency is also an important direction for future research.…”

Section: Discussionmentioning

confidence: 99%

Identification and management of the near-field knowledge of industrial design for innovative product shapes

Yang

Zhu

2019

Advances in Mechanical Engineering

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Industrial design is a complex process that contains multifarious product knowledge systems which play different roles at different stages of product development. Based on the research of different theories and methods of knowledge classification, the article proposes a new method which divides industrial design knowledge into knowledge in the field, near-field knowledge, and far-field knowledge, and established a corresponding frame of the design knowledge. In order to differentiate the near-field knowledge which is more innovative in design from considerable knowledge to facilitate an efficient design process, mechanisms of similarity searching are used. If 0.3 < [Formula: see text] (similarity) < 0.6, then define the case as the near-field product case and the relative knowledge as near-field knowledge. The core knowledge can be retrieved to drive innovative modeling. Furthermore, the process of a laptop design is taken as an example and validated using this method.

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Section: Discussionmentioning

confidence: 99%

Identification and management of the near-field knowledge of industrial design for innovative product shapes

Yang

Zhu

2019

Advances in Mechanical Engineering

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“…Substantial research effort has pursued the similarity-based retrieval methods to support process knowledge reuse, and it mainly included text-based, content-based, shape-based, topology-based, and feature-based retrieval methods. Zhang et al [23] proposed a comprehension reuse method with different manufacturing resources; according to the emerging collaborative technologies, Peng et al [24] designed and developed a smart collaborative system to streamline the design process as well as to facilitate knowledge capture. Content-based retrieval mainly includes shapebased and annotation-based retrieval methods.…”

Section: ) Management and Reuse Of Process Informationmentioning

confidence: 99%

The Modeling and Using Strategy for the Digital Twin in Process Planning

et al. 2020

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Process planning is the core of guiding process production and one of the most critical parts to realize intelligent manufacturing of products. In order to realize the monitoring, simulation, prediction and control of the physical space in the intelligent manufacturing mode, the digital twin technology is used to guide the process planning. This research describes a modeling method of digital twin process model (DTPM) for manufacturing process and the contents of DT data, discusses the acquisition method of real-time data and the management method of simulation data. Aiming at the data fusion between physical space and virtual space, a hierarchical model and mapping strategy for multi-source heterogeneous data in machining process are proposed to generate the DT data. Finally, the guidance and the visualization function in process planning of DTPM is analyzed, and the effectiveness of this method is verified by choosing the design process of a key component in a marine diesel engine.

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“…Time is a critical element in the DE process for high value complex products such as aerospace in-service engineering, where minimising aircraft ground time is a customer priority [6] [7]. However, many companies are still struggling with effective codification and storage of knowledge for reuse to reduce such design times [4] [8]. In parallel to this DE attempts to maintain competitive edge have seen noticeable increases in product related service provision in industries such as aerospace [6] [7][9].…”

Section: Introductionmentioning

confidence: 99%

Reduce, Reuse, Recycle: Visual Re-Representation of Design Engineering Knowledge

Carey¹,

Culley²,

Allen

2021

Advances in Transdisciplinary Engineering

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The exponential growth of data and information artefacts in engineering organisations are one of the biggest limitations for engineers reusing design knowledge. Approaches to support efficient information access are critical for design. In this paper, we demonstrate an exemplar “Super Document” principle using knowledge “Reduce, Reuse, Recycle” process. Evidence suggests such recycled representations can reduce the time engineers spend on gathering information from documents by up to 70%. We outline the “Reduce, Reuse, Recycle” approach using empirical studies with in-service aerospace design engineers. We suggest visual representations better record and communicate information for design engineers, resulting in a time saving of 70% per design in document information seeking. The infographic “Super Document” created uses visual re-representation of large knowledge artefacts – reducing a 100-page design document to a single page. An insight into the next steps for this research concludes this paper.

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A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model

Cited by 57 publications

References 49 publications

Identification and management of the near-field knowledge of industrial design for innovative product shapes

Identification and management of the near-field knowledge of industrial design for innovative product shapes

The Modeling and Using Strategy for the Digital Twin in Process Planning

Reduce, Reuse, Recycle: Visual Re-Representation of Design Engineering Knowledge

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